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algorithms. Maintain legacy Laravel/PHP components as needed. Maintain server deployment using XAMPP/Apache. Oversee the migration of the current DigitalOcean-hosted prototype to AWS, including setting up
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10 years of research experience. Proven track record in research and development of algorithms. Proficiency in algorithm development and programming skills using MATLAB or Phyton. Knowledge of machine
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. Key Responsibilities: Conduct research and development of AI/ML algorithms, including Reinforcement Learning and multi-agent decision making, for advanced ATFM concepts. Perform data mining, data
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algorithms, including machine unlearning techniques, to enhance model robustness and reliability. Design and execute rigorous AI testing frameworks to assess and mitigate risks in AI systems. Collaborate with
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, ML, and data science, and apply them to research projects. Document development processes, models, and algorithms for future reference and reproducibility. Ensure compliance with data privacy and
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Responsibilities: Development of stochastic and analytical methods for nonlinear partial differential equations Implementation of relevant numerical experiments using deep learning algorithms Job Requirements: PhD
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one statistical software package (e.g., SPSS, R , Stata, M plus) Proficient or knowledge with Machine Learning algorithms Experience in working with databases. Experience with Qualtrics Familiar with
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(networked) dynamical systems" (broadly defined) and there is ample room for exploring sub-topics depending on the interest of the candidate. The focus will be on deriving efficient algorithms with provable
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applicant is expected to be familiar with fully homomorphic encryption and its applications in AI models. Key Responsibilities: Conduct research into trust technologies testing – translating algorithms, tools
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candidates with expertise in the computational aspects of algorithmic design and a strong focus on applying these skills to real-world problems. The successful candidate will be expected to teach both